Animal Communication

Author(s):  
Michael D. Beecher

Among Darwin’s brilliant ideas was his (1871) conception of animal communication signals as adaptive characteristics of a species. The idea was subsequently taken up by the ethologists of Europe in the 1930s (Lorenz, Tinbergen, and von Frisch in particular) in their studies of animal signaling systems in nature. For many subsequent researchers, human language was the implicit model for an animal communication system. Although not expecting the same level of complexity, these researchers assumed that animal signals transmitted information from sender to receiver that was honest, and that benefitted them both. However, the honest signaling/mutual benefit view was challenged by new researchers steeped in the sociobiology and behavioral ecology movement of the 1960s. The emphasis on competition in this new field inspired these researchers to reconceive the animal signaling process as one in which the sender manipulates the receiver to the sender’s advantage. This view was challenged in turn when researchers recognized that the receiver was not a passive party in the interaction, but fully capable of manipulating the sender to its advantage. The communication interaction can be viewed as an arm’s race. The handicap principle—the idea that honesty in signaling can be maintained if signals are costly—is one way the receiver may gain an edge in this competition. Eventually, game theory considerations led to the development of a revised perspective in which signals evolve only when both the sender and the receiver benefit on average, and where signals are honest on average. Researchers examining a particular signaling system’s signals these days ask not are the signals honest, but how reliable are the signals.

1998 ◽  
Vol 21 (2) ◽  
pp. 282-283
Author(s):  
Michael J. Ryan ◽  
Nicole M. Kime ◽  
Gil G. Rosenthal

We consider Sussman et al.'s suggestion that auditory biases for processing low-noise relationships among pairs of acoustic variables is a preadaptation for human speech processing. Data from other animal communication systems, especially those involving sexual selection, also suggest that neural biases in the receiver system can generate strong selection on the form of communication signals.


2009 ◽  
Vol 199 ◽  
pp. 686-706 ◽  
Author(s):  
Deborah A. Bräutigam ◽  
Tang Xiaoyang

AbstractAgriculture is a rapidly growing arena for China's economic engagement in Africa. Drawing on new field research in East and West Africa, and in Beijing and Baoding, China, as well as earlier archival research, this article investigates the dimensions of China's agricultural engagement, placing it in historical perspective. It traces the changes and continuities in China's policies in rural Africa since the 1960s, as Chinese policies moved from fraternal socialism to amicable capitalism. Beginning in the 1980s, the emphasis on aid as mutual benefit began to blur the lines between aid, south–south co-operation and investment. Today, Beijing has established at least 14 new agro-technical demonstration stations using an unusual public–private model that policy makers hope will assist sustainability. At the same time, a stirring of interest among land-scarce Chinese farmers and investors in developing farms in sub-Saharan Africa evokes a mix of anticipation and unease.


2014 ◽  
Vol 60 (3) ◽  
pp. 381-386 ◽  
Author(s):  
Nicholas Dirienzo ◽  
Ann V Hedrick

Abstract Animal personalities have been a major focus of behavioral ecology over the past decade. Consistent individual differences in behavior have been found across taxa, and have been shown to influence a range of ecological processes. The role of personalities in sexual selection has been considered, and examples exist that show selection for personality traits with both assortative and disassortative mating patterns between personality types. One overlooked aspect of the personality and sexual selection literature is the potential for personality-signaling interactions, specifically with complex signaling. Complex signaling is a diverse topic in itself, and in short, consists of multiple signals within one or more modalities that interact to elicit a receiver response. Research into complex signaling has been thorough, although at times studies discover complex signaling systems that fail to fit into one of the existing hypotheses in the literature. Here, we argue that personalities may interact with complex signaling, which should be considered by researchers of both personality and sexual selection and communication. We describe several ways in which personality-complex signaling interactions could affect both the signaler and receiver, and the way in which they may drive personality-specific signals as well as receiver preferences. Finally, we discuss how considering personality in complex signaling studies may inform theory as well as improve the ability of researchers to accurately describe its function.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Alexander T. Baugh ◽  
Kim L. Hoke ◽  
Michael J. Ryan

Most studies addressing the development of animal communication have focused on signal production rather than receiver decoding, and similar emphasis has been given to learning over nonlearning. But receivers are an integral part of a communication network, and nonlearned mechanisms appear to be more ubiquitous than learned ones in the communication systems of most animals. Here we review the results of recent experiments and outline future directions for integrative studies on the development of a primarily nonlearned behaviour—recognition of communication signals during ontogeny in a tropical frog. The results suggest that antecedents to adult behaviours might be a common feature of developing organisms. Given the essential role that acoustic communication serves in reproduction for many organisms and that receivers can exert strong influence on the evolution of signals, understanding the evolutionary developmental basis of mate recognition will provide new insights into the evolution of communication systems.


2017 ◽  
Author(s):  
Klaus Riede

Background: Bioacoustic monitoring and classification of animal communication signals has developed into a powerful tool for measuring and monitoring species diversity within complex communities and habitats. The high number of stridulating species among Orthoptera allows their detection and classification in a non-invasive and economic way, particularly in habitats where visual observations are difficult or even impossible, such as tropical rainforests. Methods: Major sound archives where queried for Orthoptera songs, with special emphasis on usability as reference training libraries for computer algorithms. Results: Orthoptera songs are highly stereotyped, reliable taxonomic features. However, exploitation of songs for acoustic profiling is limited by the small number of reference recordings: existing song libraries represent only about 1,000 species, mainly from Europe and North America, covering less that 10% of extant stridulating Orthoptera species. Available databases are fragmented and lack tools for song annotation and efficient feature-based search. Results from recent bioacoustic surveys illustrate the potential of the method, but also challenges and bottlenecks impeding further progress. A major problem is time-consuming data analysis of recordings. Computer-aided identification software has been developed for classification and identification of cricket and grasshopper songs, but these tools are still far from practical field application. Discussion: A framework for acoustic profiling of Orthoptera should consist of the following components: (1) Protocols for standardised acoustic sampling, at species and community level, using acoustic data loggers for autonomous long-term recordings; (2) Open access to and efficient management of song data and voucher specimens, involving the Orthoptera Species File (OSF) and Global Biodiversity Information Facility (GBIF); (3) An infrastructure for automatised analysis and song classification; (4) Complementation and improvement of Orthoptera sound libraries, using Orthoptera Species File as taxonomic backbone and repository for representative song recordings. Taxonomists should be encouraged to deposit original recordings, particularly if they form part of species descriptions or revisions.


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